OSOP MCP Server
Enables AI agents to manage OSOP workflows by providing tools for validation, execution, testing, and optimization. It also supports converting workflows between OSOP and external formats like GitHub Actions, BPMN, and Airflow DAGs.
README
OSOP MCP Server
MCP (Model Context Protocol) server that exposes OSOP workflow operations as tools for AI agents. Any MCP-compatible client (Claude Desktop, OpenClaw, Cursor, etc.) can validate, run, render, test, optimize, import, and export OSOP workflows.
Website: osop.ai | GitHub: github.com/osop/osop-mcp
Tools
| Tool | Description |
|---|---|
osop.validate |
Validate an .osop.yaml file against the OSOP schema. Returns errors and warnings. |
osop.run |
Execute a workflow with given inputs. Supports dry-run mode. |
osop.render |
Render a workflow as Mermaid, ASCII, or SVG diagram. |
osop.test |
Run test cases defined in the workflow and report pass/fail results. |
osop.optimize |
Analyze a workflow for redundancies, parallelization opportunities, and bottlenecks. |
osop.import |
Convert external formats (GitHub Actions, BPMN, Airflow DAG) into OSOP. |
osop.export |
Convert an OSOP workflow to an external format. |
Installation
pip install osop-mcp
Usage
Standalone
python -m osop_mcp
The server listens on stdio by default (MCP standard transport).
Docker
docker build -t osop-mcp .
docker run -i osop-mcp
Claude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"osop": {
"command": "python",
"args": ["-m", "osop_mcp"],
"env": {}
}
}
}
Docker-based Configuration
{
"mcpServers": {
"osop": {
"command": "docker",
"args": ["run", "-i", "--rm", "osop-mcp"]
}
}
}
Environment Variables
| Variable | Description | Default |
|---|---|---|
OSOP_MCP_TRANSPORT |
Transport protocol (stdio or sse) |
stdio |
OSOP_MCP_PORT |
Port for SSE transport | 8080 |
OSOP_LOG_LEVEL |
Logging level | INFO |
Development
git clone https://github.com/osop/osop-mcp.git
cd osop-mcp
pip install -e ".[dev]"
pytest
License
Apache License 2.0 — see LICENSE for details.
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